This research initiative highlights the importance of ethical and explainable artificial intelligence in workforce ...

Overview:Practical projects can help you showcase technical skill, programming knowledge, and business awareness during the hiring process.Designing end-to-end ...

Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk identification to improve prevention and management strategies. Traditional risk ...

Abstract: This research addresses the challenge of camera calibration and distortion parameter prediction from a single image using deep learning models. The main contributions of this work are: (1) ...

AlphaGenome is a leap forward in the ability to study the human blueprint. But the fine workings of our DNA are still largely a mystery. By Carl Zimmer In 2024, two scientists from Google DeepMind ...

We retrospectively enrolled 115 primary RPS patients (2013–2024), splitting into training (N = 86) and validation (N = 29) sets. An end-to-end DL model was designed to forecast LRFS using ...

We will create a Deep Neural Network python from scratch. We are not going to use Tensorflow or any built-in model to write the code, but it's entirely from scratch in python. We will code Deep Neural ...

The rapid identification of environmentally sustainable refrigerants is essential to meet global climate targets and comply with international mandates such as the Kigali Amendment. This study ...

Predictive maintenance combines data science and IoT to prevent equipment failures before they occur. In this talk, I’ll demonstrate how machine learning models can analyse sensor data from industrial ...

Objective: This study compared a conventional logistic regression model with machine learning (ML) models using demographic and clinical data to predict outcomes at 2 and 6 months of treatment for MDR ...